Volunteering Opportunities at United Nations Development Programme (UNDP)

Task description
Create an AI-powered chatbot integral to our decision support platform by:

• Designing and developing a conversational AI-powered chatbot to interact with users.
• Integrating the chatbot seamlessly into the platform to deliver analyzed content and assist users in accessing relevant data
• Implementing natural language understanding (NLU) and generation (NLG) for effective communication and content delivery.
• Ensuring the chatbot’s scalability, performance, and responsiveness to user queries
• Collaborating with the development team to integrate the chatbot’s functionalities into the user interface

Requirements
Required experience

• Proficiency in chatbot development frameworks/tools (e.g., Dialogflow, Rasa, Microsoft Bot Framework).
• Experience in natural language processing (NLP) and machine learning for chatbot conversation handling
• Strong understanding of AI-driven chatbot architectures and methodologies
• Ability to integrate chatbot functionalities into existing software applications
• Problem-solving skills to address challenges in user interaction and content delivery through the chatbot

Languages

• English, Level: Fluent, Required

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Task description
We are looking for a volunteer software developer to be a key contributor in building the foundation of our document digitization and AI analysis platform. Your responsibilities will include:

• Developing a robust digitization framework to convert hard copy documents into digital format, ensuring accuracy and integrity of data during the digitization process.
• Implementing backend functionalities to support AI-driven content analysis and data extraction
• Collaborating with the AI/ML team for seamless integration of analysis algorithms
• Ensuring data integrity, security, and scalability of the platform

Requirements
Required experience

• Proficiency in programming languages like Python, Java, or similar for backend development
• Experience in building systems for data conversion and handling large datasets
• Knowledge of APIs and integration methodologies for AI algorithm integration
• Familiarity with database management and storage systems
• Strong problem-solving skills and ability to work in a collaborative team environment

Languages

• English, Level: Fluent, Required

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Task description
Spearhead the AI analysis aspect of the platform by:

• Developing and deploying AI algorithms for text recognition, data extraction, and content categorization, to derive actionable insights from the digitized content.
• Optimizing machine learning models for accuracy and efficiency in document analysis
• Selecting appropriate datasets and picking appropriate data representation methods
• Performing statistical analysis
• Running machine learning tests
• Collaborating with software developers for seamless integration of AI functionalities
• Iterating on algorithms based on feedback and performance evaluation to improve the model

Requirements
Required experience

• Proficiency in machine learning libraries (such as TensorFlow, PyTorch, etc.) and programming languages like Python
• Experience in natural language processing (NLP), OCR, and machine learning deployment
• Strong understanding of data preprocessing, feature engineering and model evaluation
• Ability to collaborate effectively in a cross-functional team environment
• Problem-solving skills to address challenges in AI model implementation

Languages

• English, Level: Fluent, Required